Faster,​ Cheaper,​ Better Synthetic Data
Dria is a complete synthetic data infrastructure to create, orchestrate and execute pipelines at scale.
For Researchers and Developers
Improve your models with better data.
For Contributors
Contribute your hardware to earn rewards.
Unbounded access
Synthetic Data, Without Limits
Dria is a framework for creating, managing, and orchestrating synthetic data pipelines, providing cost-effective inference for data generation.
Generate Datasets
Get high quality and diverse QA pairs from any file or website with one click.
Various Personas
Personas are generated by creating random variables that align with the simulation description, followed by generating a backstory for each sample.
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Graphs
Get a graph of concepts and their relationships from a given context.
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Retrieval Datasets
Obtain a JSON object containing a user query, a relevant document, and a hard negative document for a specified text retrieval task.
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Build with Dria
Build Any Agentic Pipeline You Want
Build the synthetic datasets you need with comprehensive tooling and pipeline creation flows.
Massively Parallel Inference
Dria employs thousands of nodes for a single pipeline at the same time, parallelizing the inference for generating up to ~10K tokens worth of data per second.
Extensive Model Diversity
Dria utilizes 20+ models in various ways, capitalizing on their unique strengths to ensure the highest quality throughput.
Compatible with Edge Devices
Dria's architecture unlocks a huge potential for small LLMs running locally that enables contribution via almost any modern device.
Cost-efficient
Large, tiny, open, and paid models collaborate to provide best results at low costs.
Effortlessly create diverse, high-quality synthetic datasets in multiple languages with Dria, supporting inclusive AI development.
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